Desarrollo y validación de un modelo predictivo para la identificación de pacientes infectados por el VIH con problemas relacionados con los medicamentos. Estudio predictor

Content Provider	Semantic Scholar
Author	Verdugo, Ramón A. Morillo Conde, Toni Merino, M. P. Valverde Uranga, Aitziber Illaro Cerdá, Jose Manuel Ventura Hazas, J. Serrano López De Las Paniagua, Sergio Plata Barrueta, Olatz Ibarra Sanchez, Carlos M. Valín, Luis Ortega Palacín, Ana Fernández González, Carmen Victoria Almeida
Copyright Year	2012
Abstract	Objective: To develop and validate a prediction model for the detection of drug-related problems (DRP) in patients on antiretroviral treatment during their regular monitoring in Pharmaceutical Care Clinics before dispensing drugs. Mehod: Open multicentre prospective study. HIV patients with and without DRP were included. Demographic, clinical and pharmacotherapy variables (related and unrelated to antiretroviral treatment) were included in the model design. To find prognostic factors for DRP, a binary logistic regression model was created after performing a univariate analysis that identified independent variables related to DRP these variables were introduced in the multivariate model for the final selection. Model validity was determined by the shrinkage method and the discriminatory power by Harrell’s C-index. Results: 733 patients were included. The variables ‘‘adherence’’, ‘‘prescription of drugs needing dosage adjustment’’, and ‘‘total number of drugs prescribed (apart from the antiretroviral treatment)’’ were independently related to the appearance of DRP. Probabilities predicted by the model, customising the coefficients using the uniform shrinkage method, showed a R2 = 0.962 for the construction sample and a R2 = 0.872 for the validation sample. The discriminatory capacity of the model was 0.816 for the construction sample and 0.779 for the validation sample. Conclusions: The developed and validated model enables detection of patients on antiretroviral treatment who are at a higher risk for experiencing a DRP. The prediction variables employed are commonly used in patient’s pharmacotherapy record, allowing the model to be used in routine clinical practice.
Starting Page	343
Ending Page	350
Page Count	8
File Format	PDF HTM / HTML
DOI	10.1016/j.farma.2011.11.003
Alternate Webpage(s)	http://www.aulamedica.es/fh/pdf/180.pdf
Alternate Webpage(s)	https://www.elsevier.es/index.php?p=revista&pRevista=pdf-simple&pii=S1130634311002492
Alternate Webpage(s)	https://s80e9f2b307203270.jimcontent.com/download/version/1479808384/module/5735244611/name/ESTUDIO%20PREDICTOR.pdf
Alternate Webpage(s)	http://appswl.elsevier.es/publicaciones/item/pdf?estadoItem=S300&idApp=UINPBA00004N&idiomaItem=es&origen=zonadelectura&pii=S1130634311002492&urlApp=http://www.elsevier.es&web=zonadelectura
Alternate Webpage(s)	https://www.sefh.es/fh/125_121v36n05a90154208pdf006.pdf
Alternate Webpage(s)	https://doi.org/10.1016/j.farma.2011.11.003
Volume Number	36
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article